Triple
T6246037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfaueninsel |
E139722
|
entity |
| Predicate | hasFreeRoamingAnimals |
P57706
|
FINISHED |
| Object | peacocks |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: peacocks | Statement: [Pfaueninsel, hasFreeRoamingAnimals, peacocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFreeRoamingAnimals Context triple: [Pfaueninsel, hasFreeRoamingAnimals, peacocks]
-
A.
hasNearbyWildlife
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
B.
usesLiveAnimals
Indicates that one entity employs or incorporates live animals in performing an action, service, process, or activity involving another entity.
-
C.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
D.
hasZoo
Indicates that one entity possesses, operates, or is associated with a zoo.
-
E.
containsWildSpecies
chosen
Indicates that one entity includes, houses, or encompasses wild (non-domesticated) species within its scope or boundaries.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631d9e648190a59ab4001f506424 |
completed | March 22, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.